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Title: Transcriptomic analyses of Myc and xmrk induced zebrafish liver cancer      
dateReleased:
12-17-2013
description:
To compare the characteristics and mechanisms of Myc and xmrk induced zebrafish liver tumor, next generation sequencing-based SAGE analyses were used to examine the transcriptomes of tumor and control samples. The results indicated that relatively small overlaps of significantly deregulated genes and biological pathways among different zebrafish liver tumor models.Nevertheless, they all significantly correlate with advanced or very advanced human hepatocellular carcinoma (HCC). Molecular signature from each oncogene-induced zebrafish liver tumor correlated with only a small subset of human HCC samples, and they share conserved up-regulated pathways. A short list of commonly deregulated genes among different zebrafish liver tumors showed accordant deregulation in the majority of human HCCs, suggesting that they may serve as common diagnosis markers and therapeutic targets.Thus, these transgenic zebrafish models with well-defined oncogene-induced tumors are valuable tools for molecular classification of human HCCs and for understanding of molecular drivers in hepatocarcinogenesis in each human HCC subgroup. Transcriptome profiling of Myc tumor sample (X-M+D+) and control samples (X-M-D-, X-M+D-, X-M-D+), xmrk tumor sample (X+M-D+) and control samples (X-M-D-, X+M-D-, X-M-D+), were generated by deep sequencing, using 3' RNA-SAGE on SOLiD system
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-53342
refinement:
raw
alternateIdentifiers:
53342
keywords:
functional genomics
dateModified:
06-03-2014
availability:
available
types:
gene expression
name:
Danio rerio
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-53342/E-GEOD-53342.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-53342/E-GEOD-53342.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53342
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress
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